CN-NewsTTS Bench includes CosyVoice TTS results - metadata confirmation invited

[Jayden-X-L]

Hi CosyVoice team,

I am Shijun Luo from NetEase Cloud Music, where I work on AI news briefing / AI news podcast generation. In our workflow, we use and evaluate major TTS systems to generate spoken news and information podcast content.

During this work, we found that many current TTS systems still struggle with Chinese news-style text, especially compact expressions that frequently appear in real news. These errors are not just voice-quality issues; they can change the information heard by listeners.

For example:

• 苏-27 may be read as "苏负二十七" instead of the intended aircraft model name.
• 96-91 may be read as a numeric range instead of a sports score.
• 620N·m may be read letter by letter or as symbol fragments instead of a torque unit.
• 3.5% may be read as "三点五百分号" or confused with percentage points.
• AI / CEO may be expanded into "人工智能" / "首席执行官" when the original abbreviation should be preserved.

This motivated us to release CN-NewsTTS Bench, a raw-input Chinese news TTS benchmark focused on real-world news reading cases such as dates, numbers, units, named entities, mixed-script text, and text normalization.

The current public leaderboard includes an Alibaba Cloud TTS entry:

• model_id: aliyun_tts
• model name: cosyvoice-v3-plus
• voice: default Chinese voice

Repository:
https://github.com/Jayden-X-L/cn-news-tts-bench

We would like to invite the Alibaba Cloud / DashScope team to:

1. Confirm or correct the public model metadata.
2. Submit an official result if the current configuration is not representative.
3. Provide a system/model card if available.

Submission guide:
https://github.com/Jayden-X-L/cn-news-tts-bench/blob/main/SUBMIT.md

For questions or corrections, feel free to contact me:
xiaobiluo@gmail.com

Thanks!

Best,
Shijun Luo

[github-actions]

This issue is stale because it has been open for 30 days with no activity.

[github-actions]

This issue was closed because it has been inactive for 14 days since being marked as stale.